Upasna Srivastava
Associate Research Scientist in NeurologyCards
About
Research
Publications
2026
Chapter 3 Databases for genome and genomic information
Hafeez A, Srivastava U, Gupta M. Chapter 3 Databases for genome and genomic information. 2026, 73-108. DOI: 10.1016/b978-0-443-21980-1.00018-8.Peer-Reviewed Original ResearchGenome databaseSequencing technologiesGenomic dataNext generation sequencing technologiesVolume of genomic dataHigh-throughput sequencing technologyComplexity of genomic dataGeneration sequencing technologiesSingle-nucleotide polymorphismsGene expression patternsGenomic informationGenetic compositionDNA sequencesGenetic variationGenomeRegulatory componentsBiology toolsPhenotypic characteristicsExpression patternsGenetic varietyBiological researchPhenotypic featuresDisease mechanismsGenesPrecision medicineChapter 8 Advances in transcriptomics data analysis
Kanchan S, Kesheri M, Srivastava U, Jayaswal P, Gupta M. Chapter 8 Advances in transcriptomics data analysis. 2026, 227-252. DOI: 10.1016/b978-0-443-21980-1.00020-6.Peer-Reviewed Original ResearchTranscriptome data analysisRNA-seqAdvent of single-cell RNA sequencingRNA sequencingSingle-cell RNA-seqAnalysis of gene expression profilesRNA-seq dataGene expression dynamicsCellular gene expressionSingle-cell RNA sequencingHigh-throughput studiesGene expression profilesSingle-cell levelMulticellular organismsMethod to sequenceScRNA-seqExpression dynamicsGene expressionCellular heterogeneityTranscriptomeExpression profilesDownregulation of mRNASequenceMRNACell subtypes
2025
Identification of Novel Kv1.3 Channel-Interacting Proteins Using Proximity Labelling in T-Cells
Kour D, Bowen C, Srivastava U, Nguyen H, Kumari R, Kumar P, Brandelli A, Bitarafan S, Tobin B, Wood L, Seyfried N, Wulff H, Rangaraju S. Identification of Novel Kv1.3 Channel-Interacting Proteins Using Proximity Labelling in T-Cells. Cellular Physiology And Biochemistry 2025, 0: 0-0. PMID: 41277224, DOI: 10.33594/000000823.Peer-Reviewed Original ResearchConceptsT cell-mediated autoimmunityT cellsKv1.3 channelsImmune cellsImmune mechanismsBiotin ligase TurboIDCytokine-mediated signaling pathwayProtein-protein interactionsProtein trafficking machineryT cell receptor complexActivated T cellsInnate immune cellsChannel-interacting proteinsCell surface proteinsJurkat T cellsCell junction proteinsTrafficking machineryGenetic risk factorsProtein interactorsProximity labelingBiotinylated proteinsImmunity proteinCo-ImmunoprecipitationMigrating proteinsC-terminusMultiresolution Insights into Single-Cell Landscapes: Integrating Genomics, Epigenomics, and Proteomics for Brain Studies
Srivastava, U., Sukreet, S., Kanchan, S., Kesheri, M., Gupta, M.K. (2025). Multiresolution Insights into Single-Cell Landscapes: Integrating Genomics, Epigenomics, and Proteomics for Brain Studies. In: Kesheri, M., Kanchan, S., Häder, DP., Sinha, R.P. (eds) Multi-Omics in Biomedical Sciences and Environmental Sustainability. Springer, Singapore.Peer-Reviewed Original ResearchHuman–Environment Interactions: A Multi-Omics and Interactome Perspective
Swarna Kanchan, Minu Kesheri, Poonam Kaithal, Upasna Srivastava, Harleen Kaur, Jainendra Pathak & Rajeshwar P. SinhaPeer-Reviewed Original ResearchMachine Learning Approaches for the Diagnosis of Pre- and Post-COVID-19 Phases
Srivastava, U., Kanchan, S., Kesheri, M., Piparia, S., Singh, S. (2025). Machine Learning Approaches for the Diagnosis of Pre- and Post-COVID-19 Phases. In: Kesheri, M., Kanchan, S., Häder, DP., Sinha, R.P. (eds) Multi-Omics in Biomedical Sciences and Environmental Sustainability. Springer, Singapore. https://doi.org/10.1007/978-981-96-7067-3_6Peer-Reviewed Original ResearchExploring Human Brain Disorders Through Multi-Omics Approaches
Kanchan S, Kesheri M, Srivastava U, Mallik B, Katara P, Sharda S, Kaur C, Sinha R. Exploring Human Brain Disorders Through Multi-Omics Approaches. 2025, 177-192. DOI: 10.1007/978-981-96-7067-3_7.Peer-Reviewed Original ResearchOmics technologiesMulti-omics approachIdentification of novel biomarkersBrain disordersSingle-cell omicsIdentification of biomarkersMulti-OmicsOmics approachesBiological pathwaysDisease progressionOmics methodologiesOmicsSpatial transcriptomicsHuman brain disordersApplication of omicsNovel biomarkersAlzheimer's diseaseNeurodegenerative diseasesMolecular signaturesDiseaseHealthcare problemNeurological disordersComplex organismsHuman–Environment Interactions: A Multi-Omics and Interactome Perspective
Kanchan S, Kesheri M, Kaithal P, Srivastava U, Kaur H, Pathak J, Sinha R. Human–Environment Interactions: A Multi-Omics and Interactome Perspective. 2025, 301-313. DOI: 10.1007/978-981-96-7067-3_12.Peer-Reviewed Original ResearchMultiresolution Insights into Single-Cell Landscapes: Integrating Genomics, Epigenomics, and Proteomics for Brain Studies
Srivastava U, Sukreet S, Kanchan S, Kesheri M, Gupta M. Multiresolution Insights into Single-Cell Landscapes: Integrating Genomics, Epigenomics, and Proteomics for Brain Studies. 2025, 107-141. DOI: 10.1007/978-981-96-7067-3_4.Peer-Reviewed Original ResearchSingle-cell ATAC-seqDNA methylation sequencingSingle-nuclei sequencingSingle-cell RNA sequencingCell state transitionsSingle-cell technologiesSingle-cell assaysMulti-omics technologiesSingle-cell resolutionSingle-cell proteomicsATAC-seqEpigenomic marksGenomic lociScATAC-seqMethylation sequencingRegulatory elementsScRNA-seqRegulatory circuitryCellular statesRNA sequencingTrajectory inferenceBioinformatics analysisRegulatory mechanismsCell statesOmics technologiesMachine Learning Approaches for the Diagnosis of Pre- and Post-COVID-19 Phases
Srivastava U, Kanchan S, Kesheri M, Piparia S, Singh S. Machine Learning Approaches for the Diagnosis of Pre- and Post-COVID-19 Phases. 2025, 159-176. DOI: 10.1007/978-981-96-7067-3_6.Peer-Reviewed Original Research
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